Zhongxin Liu

According to our database, Zhongxin Liu authored at least 36 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing.

Li Huang, Weifeng Sun, Meng Yan, Zhongxin Liu, Yan Lei, David Lo

ACM Trans. Softw. Eng. Methodol., January, 2025

2024

Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning.

Weifeng Sun, Zhenting Guo, Meng Yan, Zhongxin Liu, Yan Lei, Hongyu Zhang

IEEE Trans. Software Eng., October, 2024

Vulnerability Detection via Multiple-Graph-Based Code Representation.

Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang

IEEE Trans. Software Eng., August, 2024

FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models.

Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo

CoRR, 2024

Exploring the Capabilities of LLMs for Code Change Related Tasks.

Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li

CoRR, 2024

Sustainability Forecasting for Deep Learning Packages.

Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng

Proceedings of the IEEE International Conference on Software Analysis, 2024

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks.

Jiawei Lu, Haoye Wang, Zhongxin Liu, Keyu Liang, Lingfeng Bao, Xiaohu Yang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests.

Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Exploring and Improving Code Completion for Test Code.

Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, Xin Xia

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Automating Zero-Shot Patch Porting for Hard Forks.

Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding.

Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software.

Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation.

Hanzhen Lu, Zhongxin Liu

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks.

Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

JumpCoder: Go Beyond Autoregressive Coder via Online Modification.

Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Robust Test Selection for Deep Neural Networks.

Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo

IEEE Trans. Software Eng., December, 2023

Revisiting the Identification of the Co-evolution of Production and Test Code.

Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo

ACM Trans. Softw. Eng. Methodol., November, 2023

Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code.

Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li

IEEE Trans. Software Eng., August, 2023

Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach.

Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao

IEEE Trans. Software Eng., April, 2023

Just-In-Time Obsolete Comment Detection and Update.

Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li

IEEE Trans. Software Eng., 2023

CCT5: A Code-Change-Oriented Pre-trained Model.

Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach.

Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Towards More Realistic Evaluation for Neural Test Oracle Generation.

Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back.

Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Improving Code Refinement for Code Review Via Input Reconstruction and Ensemble Learning.

Jiawei Lu, Zhijie Tang, Zhongxin Liu

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Investigating and improving log parsing in practice.

Ying Fu, Meng Yan, Jian Xu, Jianguo Li, Zhongxin Liu, Xiaohong Zhang, Dan Yang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Parameter Description Generation with the Code Parameter Flow.

Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

2021

Which Variables Should I Log?

Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li

IEEE Trans. Software Eng., 2021

Quality Assurance for Automated Commit Message Generation.

Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network.

Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Improving Code Summarization Through Automated Quality Assurance.

Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

Automating Just-In-Time Comment Updating.

Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019

Automatic, highly accurate app permission recommendation.

Zhongxin Liu, Xin Xia, David Lo, John C. Grundy

Autom. Softw. Eng., 2019

Automatic Generation of Pull Request Descriptions.

Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

Neural-machine-translation-based commit message generation: how far are we?

Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, Xinyu Wang

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

SATD detector: a text-mining-based self-admitted technical debt detection tool.

Zhongxin Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018